深度学习各方面:
[1] Y. LeCun, Y. Bengio, and G. Hinton, “Deep learning,” Nature,2015.
[7] M. Oechsle, S. Peng, and A. Geiger, “Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction,”in
ICCV, 2021.
[10]D. Xu, D. Anguelov, and A. Jain, “Pointfusion: Deep sensor fusion for 3d bounding box estimation,” in CVPR,
2018.
生成模型:
[15] I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. WardeFarley, S. Ozair, A. Courville, and Y. Bengio, “Generative adversarial
nets,” in NeurIPS, 2014.
[17] J. Ho, A. Jain, and P. Abbeel, “Denoising diffusion probabilistic models,” NeurIPS, 2020.
二维图像合成:
[14] A. Ramesh, P. Dhariwal, A. Nichol, C. Chu, and M. Chen, “Hierarchical text-conditional image generation with clip latents,”arXiv
preprint arXiv:2204.06125, 2022.
[23] J. Yu, Y. Xu, J. Y. Koh, T. Luong, G. Baid, Z. Wang, V. Vasudevan,A. Ku, Y. Yang, B. K. Ayan et al., “Scaling autoregressive
models for content-rich text-to-image generation,” arXiv preprint arXiv:2206.10789, 2022.
3D开创性尝试:
[30] E. R. Chan, M. Monteiro, P. Kellnhofer, J. Wu, and G. Wetzstein,“pi-gan: Periodic implicit generative adversarial networks for
3daware image synthesis,” in CVPR, 2021.
[31] M. Niemeyer and A. Geiger, “Giraffe: Representing scenes as compositional generative neural feature fields,” in CVPR, 2021.
研究背景-相关研究